diff --git a/docs/source/en/_toctree.yml b/docs/source/en/_toctree.yml index 1db7a7cc3e9f..07742fc4e8a8 100644 --- a/docs/source/en/_toctree.yml +++ b/docs/source/en/_toctree.yml @@ -580,6 +580,8 @@ title: Lumina-T2X - local: api/pipelines/marigold title: Marigold + - local: api/pipelines/nucleusmoe_image + title: NucleusMoE-Image - local: api/pipelines/omnigen title: OmniGen - local: api/pipelines/ovis_image diff --git a/docs/source/en/api/pipelines/nucleusmoe_image.md b/docs/source/en/api/pipelines/nucleusmoe_image.md new file mode 100644 index 000000000000..ba2a82004428 --- /dev/null +++ b/docs/source/en/api/pipelines/nucleusmoe_image.md @@ -0,0 +1,30 @@ + + +# NucleusMoE-Image + +[NucleusMoE-Image](https://huggingface.co/NucleusAI/NucleusMoE-Image) is a text-to-image model that pairs a single-stream DiT with Mixture-of-Experts feed-forward layers, cross-attention to a Qwen3-VL text encoder, and a flow-matching Euler discrete scheduler. + +> [!TIP] +> Make sure to check out the Schedulers [guide](../../using-diffusers/schedulers) to learn how to explore the tradeoff between scheduler speed and quality, and see the [reuse components across pipelines](../../using-diffusers/loading#reuse-a-pipeline) section to learn how to efficiently load the same components into multiple pipelines. + +## NucleusMoEImagePipeline + +[[autodoc]] NucleusMoEImagePipeline + - all + - __call__ + +## NucleusMoEImagePipelineOutput + +[[autodoc]] pipelines.nucleusmoe_image.pipeline_output.NucleusMoEImagePipelineOutput